Everseen

Platform Engineer

• Owns a core sub-system, a significant slice of a technology pillar, or complex business-critical features.
• Leads the design of complex features, services, or new sub-systems.
• Directly drives progress on highly complex tasks that involve multiple cross-functional dependencies.
• Influences team-level architecture, implementation approaches, and continuous technical improvements.
• Contributes hands-on to the most technically challenging parts of the team's workload.
• Improves team-level software quality by establishing stronger test coverage and advanced validation patterns.
• Leads the diagnosis and troubleshooting of complex production issues within team systems.
• Responsible for creating, reviewing, and maintaining high-quality technical documentation and durable design knowledge.
• Mentors engineers (SDE I/II) and supports their technical growth.

Software Development Engineer III, ML Platform

Business Intelligence Developer

• Utilize storytelling techniques to create intuitive reports, dashboards, and data visualizations.
• Craft reports that effectively communicate insights derived from data analysis.
• Define and develop Power BI data models to facilitate the creation of informative and high-value dashboards.
• Document existing solutions to foster knowledge sharing within the team.
• Identify areas for improving data reliability, performance, and quality.
• Follow compliance and regulatory guidelines for data processing.
• Design reports and data processes with compliance considerations in mind to mitigate risks.
• Share skills, knowledge, and expertise across members of the BI analytics team.

BI Analyst II

Customer Success Manager

• Influence a portfolio of enterprise retail accounts to foster long-term, successful partnerships.
• Serve as the primary retail SME and advocate for the client within the company.
• Conduct regular business reviews (QBRs) to assess progress, report on value realization, and strategize on future goals.
• Support the full customer journey through data analysis, insights, and recommendations, ensuring a smooth effective implementation and utilization of our AI solutions.
• Proactively drive user adoption and engagement by providing training, best practices, and continuous support.
• Monitor key KPIs and work cross-functionally to develop data-driven strategies to mitigate risk and increase engagement.
• Collaborate with clients to define, measure, and achieve a clear return on investment (ROI), ensuring value realization of at least 3x the SaaS fees.
• Identify outliers in performance and value, and collaborate with cross-functional teams and the customer to develop and execute recovery plans.
• Identify and qualify opportunities for account expansion and upsells in collaboration with the Sales team.
• Ensure high retention rates and support the renewal process for your portfolio.
• Advocate for the customer by providing feedback to Product and Engineering teams to inform the product roadmap.
• Develop a deep understanding of the client’s specific retail challenges and strategic priorities.
• Act as a subject matter expert on both our vision AI platform and its application within the retail industry.
• Translate complex technical concepts into clear business value for a range of client stakeholders, from store managers to executives.
• Systematically gather, analyze, and present customer feedback and sentiment to internal SLT, Product, and Operations teams to drive continuous improvement.

• Influence a portfolio of enterprise retail accounts to foster long-term, successful partnerships.
• Serve as the primary retail SME and advocate for the client within the company.
• Conduct regular business reviews (QBRs) to assess progress, report on value realization, and strategize on future goals.
• Support the full customer journey through data analysis, insights, and recommendations.
• Proactively drive user adoption and engagement by providing training, best practices, and continuous support.
• Monitor key KPIs and work cross-functionally to develop data-driven strategies.
• Collaborate with clients to define, measure, and achieve a clear return on investment (ROI).
• Identify outliers in performance and value, and collaborate with cross-functional teams and the customer to develop and execute recovery plans.
• Identify and qualify opportunities for account expansion and upsells in collaboration with the Sales team.
• Ensure high retention rates and support the renewal process for your portfolio.
• Advocate for the customer by providing feedback to Product and Engineering teams to inform the product roadmap.
• Develop a deep understanding of the client’s specific retail challenges and strategic priorities.
• Act as a subject matter expert on both our vision AI platform and its application within the retail industry.